Team Members: Kevin Liu, Shomil Jain, Nima Rezaeian
School: UC Berkeley

At first sight, people begin to form judgements about each other in their heads based on appearance, race, gender, and other superficial factors. These are called “implicit biases”, and they affect the ways we think, act, and perceive the world around us. From gender discrimination in the workplace to racial profiling in our communities, many of the issues we face as a country stem from the consequences of our implicit biases. Seminar is a platform intended to be used in the high school classroom to address these biases in an engaging and unique manner. Through a mobile app, students are allowed to converse with their peers through a model that facilitates productive conversations without the inhibitions of superficial influences. Through proprietary pairing and impact algorithms, Seminar learns about the community it is deployed in and improves the student experience over time.